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Documentation of statistics: SME Access to Finance

Contact info, Business Dynamics , Alina Grecu , +45 30 55 18 24 , AGC@dst.dk , Get documentation of statistics as pdf, SME Access to Finance 2018 , Previous versions, SME Access to Finance 2014, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Statistical presentation, The statistics sheds light on small and medium-sized enterprises' access to finance, covering loan finance, equity finance and other types of finance. Results are published in a NYT from Statistics Denmark and related tables in the Statbank. , Read more about statistical presentation, Statistical processing, The statistics is annual and questionnaire-based. Information is reported digitally. Validation includes checks and supporting information built into the digital form, combined with subsequent checks and recontact to reporting enterprises. The published results are grossed up to population level. Stratification is based on activity, enterprise size class and subpopulations ( high-growth enterprises, high-growth new enterprises and other enterprises)., Read more about statistical processing, Relevance, The statistics provides updated information on growth conditions for the Danish business sector, specifically on small and medium-sized enterprises' access to finance. The 2018 survey was carried out in collaboration with, and with financing from, the Danish Ministry of Industry, Business and Financial Affairs. In addition, the statistics is expected to be used by other ministries, Danmarks Nationalbank (the Danish Central Bank), business associations and by researchers., Read more about relevance, Accuracy and reliability, Sampling error calculations have been produced. The response rate is 93 per cent. Unit non-response is limited and due to bankruptcy, take-overs, etc. Item non-response is also limited. The quality of the statistics is considered high., Read more about accuracy and reliability, Timeliness and punctuality, Results from the survey are published relatively soon after the end of the reference period, and results have been published without delays. Results for 2014 were published without delays in a NYT from Statistics Denmark and related tables in the Statbank in mid-April 2015. Results for 2018 will be published without delays in late October 2019., Read more about timeliness and punctuality, Comparability, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. for 2007 and 2009/2010 results for a number of other European Member States are also available. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Read more about comparability, Accessibility and clarity, Results are published in a Nyt from Statistics Denmark (in Danish only) and related tables in the Statbank. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sme-access-to-finance

Documentation of statistics

Documentation of statistics: Rail Transport

Contact info, Short Term Statistics, Business Statistics , Mathias Dybdahl Bluhme , +45 40 22 56 37 , MDB@dst.dk , Get documentation of statistics as pdf, Rail Transport 2026 , Previous versions, Rail Transport 2025, Rail Transport 2024, Rail Transport 2023, Rail Transport 2022, Rail Transport 2021, Rail Transport 2020, Rail Transport 2019, Rail Transport 2018, Rail Transport 2017, Rail Transport 2016, Rail Transport 2015, Rail Transport 2014, Rail transport statistics covers transport of goods and passengers by rail, investments in rail infrastructure and vehicles, rail traffic and accidents. The statistics is used for policy work in the EU and is compliant with the EU-regulation on the topic which secures that it can be compared to other EU-countries. Furthermore it is used by others with interest in the railroad sector this includes government bodies., Statistical presentation, Rail transport statistics contains information passenger and goods transport on Danish rail network irrespective of the nationality of the operator on a quarterly basis. On a yearly basis the statistics contains information on railway infrastructure and rolling vehicle stock, investments in infrastructure and rolling vehicles, and rail accidents. , Read more about statistical presentation, Statistical processing, Data for the statistics are collected through the online data collection portal, Virk.dk, quarterly from all rail operators with transport on the Danish rail network including private railways and light rail lines. Data are validated with regard to internal consistency in the report and the development in the time series on both micro (enterprise) and macro (aggregated statistics) level. No imputation (the statistics are only published when all data is collected), enumeration or seasonally adjustment are done., Read more about statistical processing, Relevance, The statistics are used widely by e.g. news media, ministries and consultancies, and it is the impression that the statistics is of relevance to the users., The statistics are primarily used by EU for policy work but also other with interest on the subject uses it. This includes government bodies., Read more about relevance, Accuracy and reliability, Uncertainty is estimated to be relative small since data collection covers all enterprises operating trains on the Danish rail network., Only minor revisions are done to the first preliminary publication., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 73-74 days after the reference period., The statistics are always published at the pre-announced time., Read more about timeliness and punctuality, Comparability, Comparable time series for all EU-member states and EFTA-member states are published by Eurostat. , There is no significant breaks in the existing time series. The time series for personkilometres for the Metro has a minor break between 2016 and 2017 due to changes in methodology., Read more about comparability, Accessibility and clarity, The statistics are published yearly in Nyt fra Danmarks Statistik (Statistical news) , and all data is available in , StatBank Denmark, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rail-transport

Documentation of statistics

Statistics Denmark's Classification of Occupations (DISCO-08), v1:2010

Name: , DISCO_08_V1_2010 , Description: , DISCO-08 is a six-digit, five-level classification for classifying and aggregating information about job functions in statistical studies. The classification is a revised version of the 1988 occupational classification (DISCO-88) which it replaces., The classification is a tool for organizing jobs or occupational functions in clearly defined groups, in relation to the tasks performed in the job or occupation. The use of DISCO-08 makes it possible to compare people with the same job function - regardless of the employee's formal title and education., DISCO-08 is the official Danish version of the international professional classification, , International Standard Classification of Occupations (ISCO-08), , which is prepared by the International Labor Organization (ILO)., Compared to ISCO-08, Denmark has chosen to extend the classification from four to five levels, in order to meet the needs for further division of labour functions in the Danish labor market. The extension means that the labour functions of DISCO-08 - in the most detailed form - are divided into 563 groups, against ISCO-08's 439 subgroups., Valid from: , January 1, 2010 , Office: , Arbejde og Indkomst , Contact: , Sam Blanch, , slb@dst.dk, , ph. +45 23 63 60 44 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Statistics Denmark's Classification of Occupations (DISCO-08), v1:2010, January 1, 2010, Still valid, Statistics Denmark's Classification of Occupations (DISCO-88), v1:1996, January 1, 1996, December 31, 2009

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disco

Documentation of statistics: Holiday houses

Contact info, Short Term Statistics, Business Statistics , Karen Keller , +45 21 19 85 61 , kke@dst.dk , Get documentation of statistics as pdf, Holiday houses 2026 , Previous versions, Holiday houses 2025, Holiday dwellings 2024, Holiday houses 2022, Holiday dwellings 2020, Holiday dwellings 2019, Holiday dwellings 2018, Holiday dwellings 2017, The purpose of the statistic Holiday houses is to visualize the capacity and rental activity for Danish holiday houses through from rental agencies. Users of the statistics is e.g. business and tourism organisations as well as municipalities and regions to analyse the development in tourism. The statistics have been compiled since 1968 in various forms. Figures for the first years are available in printed editions of the Statistical Yearbook. In its current form, the statistics are comparable since 1992. Figures on nights spend at holiday houses or holiday apartments complements other tourism statistics on nights spend e.g. hotels, camping., Statistical presentation, The statistics about holiday houses are a monthly and annual calculation of Danish holiday houses that are rented out through rental agencies. The statistics are divided into nationalities of the guests, as well as geographically by regions and parts of the country. In addition, there is an annual assessment of the capacity of vacation houses for rental. Numbers of Municipal distribution is prepared in collaboration with VisitDenmark. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected monthly for reporting that covers approx. 95 pct. of the population, to which is added an enumeration of the annual reports from the previous year, so that the entire population of holiday house rental with a minimum of 25 houses available is covered. The monthly statistics shows temporary data for the holiday house rental. When the reference year is over, the calculated imputed values are replaced with the final data for the year. The annual statistics with the final data include reporting from every holiday house rental with a minimum of 25 houses available for renting., Data for the annual statistics is collected via an upload solution for the rental agencies that only report annually or via an electronic questionnaire for the rental agencies that report monthly. The collected data undergoes micro-level debugging during the actual collection and at the macro-level when the data is aggregated. , Read more about statistical processing, Relevance, The statistics are relevant for e.g. the companies, industry associations, municipalities and regions as well as business and tourism organizations as a basis for forecasts, analyses and planning purposes., Read more about relevance, Accuracy and reliability, The variables of the statistics associates more or less uncertainty. Number of contracts, number of houses available and rented house-weeks are regarded as the most certain variables. The variable Numbers of nights is regarded as more uncertain, because in some cases they are based on reported estimates. , Read more about accuracy and reliability, Timeliness and punctuality, The monthly statistics for holiday house rental is published approx. 40 days after the end of the reference month. The statistics are published without delays in relation to planned publication times. The annual statement for holiday house rental is published together with the final annual figures approx. 100 days after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The statistics date back to 1986 and have undergone changes over time. From 1986-1990, the statistics only covered holiday house rental in the high season. From 1990, the statistics covered an operating year, i.e. early October to and including the end of September. From 1998, the annual statistics are based on the calendar year. In 2011, the overnight figures for 2010 were adjusted upwards by 647,000 as a result of revised information from some rental agencies. As a consequence, the number of overnight stays in 2010 and 2011 and onwards is not immediately comparable with the number of overnight stays in previous years. From 2012, the number of available houses for rent was removed from the monthly statistics. Instead, the figure is calculated once a year with the number of available houses for rent per year. May 1. in the reference year. , Read more about comparability, Accessibility and clarity, The statistics are published monthly and annually in , Nyt from Statistics Denmark, . In the Statistics Bank, the figures are published under the subject , Holiday houses, and , Total types of accommodation, . See more on the statistics , topic page, . Municipality-distributed statistics on holiday rental are financed by VisitDenmark and are freely available on their , website, ., If you want to combine statistics on holiday home rentals with other variables or put them together in another way, you can contact DST Consulting to clarify options and request a quote. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/holiday-houses

Documentation of statistics

Classification of education (DISCED-15), completed educations, v1:2026

Name: , DISCED15_AUDD_HOVED_V1_2026 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2026 , Office: , Befolkning og Uddannelse , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DISCED-15), completed educations, v1:2026, February 1, 2026, Still valid, Classification of education (DISCED-15), completed educations, v1:2025, February 1, 2025, January 31, 2026, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd

Documentation of statistics: Cattle

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Cattle 2026 , Previous versions, Cattle 2025, Cattle 2024, Cattle 2023, Cattle 2022, Cattle 2021, Cattle 2020, Cattle 2019, Cattle 2018, Cattle 2017, Cattle 2016, Cattle 2015, Cattle 2014, The purpose of these statistics is to describe the stock of cattle in Denmark. The statistics are i.e. used for forecasts of future slaughtering of cattle. The cattle stock have been estimated since 1946, but these statistics are in its current form comparable from 2008 and onwards., Statistical presentation, These statistics are a quarterly measurement of the total number of cattle in Denmark. The number of cattle are divided into groups of bulls and steers, heifers and cows, based on information collected from administrative registers. The cattle stock is also divided by geographic province., Read more about statistical presentation, Statistical processing, Information is collected from two registers: the Central Register of Livestock and the Register of Cattle. In the Central Register of Livestock every single animal is registered with an individual number, birthday and sex and so on. These data are linked with data from the Register of Cattle about whether the heifers are with calf or not. When all data are validated, they are grouped by type, age and geography., Read more about statistical processing, Relevance, The cattle survey is of great interest to EU, the Ministry of Environment and Food, The Danish Association of Slaughterhouses and others farmer´s organizations, but also students and interested people in general. The most important purposes of cattle surveys are to provide a basis base for forecasts of cattle for slaughter. The statistics are used in financially and environment studies. , There are no examination of the uses satisfaction, but the impression is, that most users are satisfied with the statistics., Read more about relevance, Accuracy and reliability, The reliability of the variables for cattle is considered to be good. The information about cattle comes from the Danish Veterinary and Food Administration's database, the Central Livestock Register (CHR) and the cattle database owned by SEGES. There is a large control of data in these registers, as it is mandatory that all cattle must be registered in CHR, Read more about accuracy and reliability, Timeliness and punctuality, The survey results are published quarterly, about 3 weeks after the survey day. The punctuality is high, with delays happening very rarely., Read more about timeliness and punctuality, Comparability, The survey is comparable from 2008 onwards, and there is a high degree of comparability with previous surveys. Furthermore there is high degree of comparability with other European countries, especially the EU countries. , Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and quarterly in the Statbank table , KVAEG5, . For further information, see the subject page for , Farms with livestock, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cattle

Documentation of statistics

Documentation of statistics: Key Figures for Municipalities Accounts

Contact info, Government Finances, Economic Statistics , Jeppe Føge Jensen , +45 40 22 58 23 , JFJ@dst.dk , Get documentation of statistics as pdf, Key Figures for Municipalities Accounts 2025 , Previous versions, Key Figures for Municipalities Accounts 2024, Key Figures for Municipalities Accounts 2023, Key Figures for Municipalities Accounts 2022, Key Figures for Municipalities Accounts 2021, Key Figures for Municipalities Accounts 2020, Key Figures for Municipalities Accounts 2019, Key Figures for Municipalities Accounts 2018, Key Figures for Municipalities Accounts 2017, Key Figures for Municipalities Accounts 2016, Indicators for Municipal Annual Accounts 2015, The purpose of these statistics is to present selected key figures from the annual accounts of the municipalities, which is of particular interest, in a way that makes it easy to compare across municipalities. Key figures are comparable since 2008. , The figures should be interpreted with caution due to varying accounting methods across municipalities as well as over time. Also, adjustments are made continuously to the municipal accounting system., Statistical presentation, These statistics contain 12 annual key indicators where accounting figures are compared with population figures in the individual municipalities. All key indicators are measured in DKK, both in current and fixed prices for all 98 Danish municipalities., Read more about statistical presentation, Statistical processing, The key figures are prepared by applying tables from the database StatBank Denmark and from figures for price- and pay adjustments from the Ministry for the Interior and Housing., Read more about statistical processing, Relevance, The key figures open up the possibility of making comparisons across municipalities. Figures must be interpreted with caution due to both changes in the compilation methods and in the municipal accounting system. Further information with regard to the figures underlying the key figures, including the detailed municipality accounts is available from the database StatBank Denmark. , Read more about relevance, Accuracy and reliability, Figures must be interpreted with caution due to both changes in the compilation methods and in the municipal accounting system. , Read more about accuracy and reliability, Timeliness and punctuality, The key figures are published in April., Read more about timeliness and punctuality, Comparability, Reference is made to the section on concepts and definitions with a view to assessing comparability among key figures. , Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Municipal accounts, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/key-figures-for-municipalities-accounts

Documentation of statistics

Documentation of statistics: Municipal expenditures on social services

Contact info, Personal Finances and Welfare, Social Statistics , Jane Christensen , +45 20 58 42 40 , JNC@dst.dk , Get documentation of statistics as pdf, Municipal expenditures on social services 2025 , Previous versions, The purpose of the Municipal Expenditure on Social Services statistics is to provide information on the expenditure incurred for individual citizens receiving social services under selected provisions of the Danish Social Services Act. These services are granted by Denmark's 98 municipalities to adults with physical or mental disabilities and to vulnerable adults. The statistics are used for policy development, public debate and research. They are compiled annually and were first published in 2026, based on municipal accounting data for 2025., Statistical presentation, The statistics provide an annual account of individually attributable expenditure, where municipal expenditure and revenue relating to selected social services provided to adults with physical or mental disabilities and vulnerable adults under selected provisions of the Danish Social Services Act can be directly attributed to individual recipients. The statistics include information on expenditure and the number of recipients. Data are presented by municipality, type of social service and functional category. The statistics are published in the StatBank Denmark and in NYT article from Statistics Denmark., Read more about statistical presentation, Statistical processing, Data for these statistics are collected annually through municipalities' financial management systems or via Statistics Denmark's web-based reporting solution (IDEP). Municipalities validate and approve the data each year. The reported data are first approved following submission and subsequently given final approval after reconciliation with the municipalities' accounting data., The data are compiled into two statistical registers covering all expenditure incurred for social services provided to adults with physical or mental disabilities and vulnerable adults under selected provisions of the Danish Social Services Act., Read more about statistical processing, Relevance, The statistics are relevant to researchers, journalists and public authorities in the social services sector, including ministries, government agencies and municipalities. They provide a basis for analyses and a better understanding of municipal individually attributable expenditure., Read more about relevance, Accuracy and reliability, Overall, the data underlying the statistics are assessed to result in an underestimation of municipal individually attributable expenditure. This should be seen in light of the fact that 2025 is the first reporting year and that the underlying data reporting practices are still being established within the municipalities. The main sources of uncertainty relate to differences in municipalities' methods for compiling the data and their accounting practices, as well as the risk of incomplete or missing reporting. The data are validated with a particular focus on extreme values, missing information and consistency with municipal accounting data. Prior to publication, municipalities review and approve the reported data and correct any identified errors or omissions., The accuracy and overall data quality of the statistics are expected to improve as municipalities further develop their practices for recording individually attributable expenditure, including the associated start and end dates, in their financial management systems. The opportunity for municipalities to review and compare their reported data is also expected to contribute to further improvements in data quality., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published no later than six months after the end of the reference period. Releases are published according to the announced release schedule and without delay., Read more about timeliness and punctuality, Comparability, The statistics were first published in 2026, based on accounting data for 2025., Read more about comparability, Accessibility and clarity, The statistics are disseminated through a , Nyt, fra Danmarks Statistik article authored by Statistics Denmark., The StatBank tables are published under the subject area Social Support Services. Further information is available on the Municipal Expenditure on Social Services , subject page, ., Tailor-made analyses based on the statistics are available through Statistics Denmark Consulting. Researchers and other authorised users may also access the underlying microdata through Denmark's Data Portal., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/municipal-expenditures-on-social-services

Documentation of statistics

Documentation of statistics: Hospitalization

Contact info, Personal Finances and Welfare, Social Statistics , Line Neerup Handlos , +45 26 64 03 00 , LHA@dst.dk , Get documentation of statistics as pdf, Hospitalization 2025 , Previous versions, Hospitalization 2024, Hospitalization 2023, Hospitalization 2022, Hospitalization 2021, Hospitalization 2019, Hospitalization 2018, Hospitalisation 2017, Hospitalization 2016, Hospitalization 2015, Hospitalization 2014, Hospitalization 2013, The purpose of the Hospital Utilisation Statistics is to shed light on the connection between hospitals stays and social and demographic conditions. The statistics have been compiled since 1990, but are comparable in their current form only from 2017 onwards., Statistical presentation, The statistics are an annual inventory of stays at public and private somatic and psychiatric hospital wards within one calendar year. The statistics show how hospital stays vary with demographic and social factors, such as residence, sex, age, educational level, labour market affiliation and relatives. The statistics are published in News from Statistics Denmark and in the StatBank., Read more about statistical presentation, Statistical processing, The statistics are based on data retrieved from the National Patient Registry, which is shared with Statistics Denmark by the Danish Health Data Authority. Background data from Statistics Denmark are linked to the registry, and summaries and counts are produced — for example, the number of hospital stays and patients in public and private somatic and psychiatric hospital departments during the calendar year., Read more about statistical processing, Relevance, Public and private stakeholders, as well as the general population, can use the statistics to extract data on the population’s hospital utilisation for various analyses, research, public debate, etc. The statistics make it possible to produce figures for specific diagnosis groups and to link information on hospital utilisation with sociodemographic factors such as place of residence, education, labour market attachment, and origin. This is made possible by linking data from the National Patient Register with population register data from Statistics Denmark., Read more about relevance, Accuracy and reliability, The National Patient Register is validated by the Danish Health Data Agency and the accuracy of the register data must be considered to be high because the registration has a long tradition and a high priority for administrative purposes. Accordingly, the overall accuracy of the Hospital Utilisation Statistics is high. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published within approximately seven months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistics have been developed since 1990, but are only comparable in their current form from 2017 onwards., Eurostat and the OECD make comparable statistics in this field. There are a number of organizational and institutional conditions that we must keep in mind when comparing countries. , Read more about comparability, Accessibility and clarity, The statistics are released in the newsletter Nyt from Statistics Denmark (in Danish only) and the Statbank, Statbank tables on , hospitalisation utilisation, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/hospitalization

Documentation of statistics

Documentation of statistics: Livestock production

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Livestock production 2024 , Previous versions, Livestock production 2023, Livestock production 2022, Livestock production 2021, Livestock production 2020, Livestock production 2017, Livestock production 2016, Livestock production 2015, Livestock production 2014, The purpose of Animal Products is to show size of production of animal agricultural products in Denmark. The statistics are used to monitor the price and quantity of development as well as the total value of animal production. The statistics on animal products have a long history and since 1900 it is possible to compare time series for the main figures, but from 1945 there have been adequate statistics in this area., Statistical presentation, Animal Products are a monthly, quarterly and annual measurement of total animal production, as well as of the main animal products. The statistics are stated in DKK million. and as quantity and price indices distributed by product groups., Read more about statistical presentation, Statistical processing, Data for these statistics are collected annually, monthly and quarterly, depending on product. Data comes from administrative registers, miscellaneous notifications, etc. In the individual statistics, the data received is checked for completeness and consistency, as well as consistency with previous periods. Data is checked again for completeness and consistency as well as correlation with previous periods in aggregation and calculation of quantity and price indices as well as total values ​​for animal agricultural products., Read more about statistical processing, Relevance, The statistics are used by ministries, agricultural organizations, as the basis for preparing analyzes and forecasts. The basic data and results of the statistics are also included in the National Accounts., Read more about relevance, Accuracy and reliability, The statistics give complete coverage and the margins of errors are restricted to estimates of the producers' own consumption, lower thresholds in the external trade statistics and incomplete statistics of stocks. The data derived from calculations of balances are residuals and the figures are subject to margins of errors. The greatest margins of errors are observed for the statistics compiled quarterly., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published without delay in relation to scheduled release times. , Read more about timeliness and punctuality, Comparability, The statistics have been compiled since 1900, but are in their present form comparable from 1946. Compared to the statistics regarding Prices and price index for agriculture, there can be small differences due to a slight difference in the weight composition of the individual main products., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Agricultural and horticultural economy, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/livestock-production

Documentation of statistics